View Part time Masters Programs in Statistics 2017

A masters is the first level of graduate coursework and can be obtained after you receive a bachelor’s degree. Earning a masters usually requires two years of full-time study, which amounts to 36 to 54 semester credits.

Statistics is a highly relevant field with applications in many different academic disciplines, such as medicine, natural sciences, education, psychology, and education. It is also a desirable skill for workers in industry, business, and government.

Location

Location

Study type

Study type

Part time

Pace

The Australian National University | Science

Campus2 yearsJanuary 2017AustraliaCanberra

This degree is intended to enable students to upgrade their expertise in the mathematical sciences either as a route to further study of mathematical sciences or to upgrade their quantitative skills in areas such as the biological sciences and computational science that are rapidly becoming more reliant on advanced techniques from the mathematical sciences.
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Best Part time Masters in Statistics 2017. A single two year graduate degree offered by the ANU College of Physical and Mathematical Sciences
ANU is ranked number one in Australia for maths teaching and research*. We offer our students small class sizes and access to some of the best mathematicians in Australia, currently including 15 fellows of the Australian Academy of Sciences, two fellows of the Royal Society, ten recipients of the Australian Mathematical Society Medal and three ARC Laureate Fellows. Our researchers have access to up-to-date computing facilities including the National Computational Infrastructure supercomputer.
We fulfil both a national and international role as a “research institute” in the mathematical sciences, working cooperatively with the Australian Mathematical Sciences Institute (AMSI) and a number of international centres.
This degree is intended to enable students to upgrade their expertise in the mathematical sciences either as a route to further study of mathematical sciences or to upgrade their quantitative skills in areas such as the biological sciences and computational science that are rapidly becoming more reliant on advanced techniques from the mathematical sciences.
Learning Outcomes
Upon successful completion, students will have the skills and knowledge to:
Explain the fundamental concepts of a chosen research topic and its role in modern mathematics and applied contexts.
Systematically identify relevant theory and concepts, relate these to appropriate methodologies and evidence, and draw appropriate conclusions.
Demonstrate capacity for mathematical reasoning through analyzing, proving and explaining concepts from the chosen research area.
Engage in systematic discovery and critical review of appropriate and relevant information sources.
Communicate research concepts and contexts clearly and effectively both in writing and orally.
Career Options
ANU provides you with more choice for your entrance score by offering the new Flexible Double Degree program.
The ANU Flexible Double Degree lets you build skills for your chosen career without forfeiting your passion. It's your choice to build a double degree partnership that suits your head and your heart.http://students.anu.edu.au/applications/
Further Information
New students in this program are eligible to apply for a Commonwealth Supported Place. Visit the following website for further information: http://science.anu.edu.au/study/postgraduate/commonwealth-supported-places
Admission Requirements
A Bachelor degree or international equivalent with an average mark of at least 70% and at least 8 courses in cognate disciplines.
All applicants must meet the University’s English Language Admission Requirements for Students.
Applicants with a Bachelor Degree or Graduate Certificate in a cognate discipline may be eligible for 24 units (one semester) of credit.
Applicants with a Graduate Diploma or Honours in a cognate discipline may be eligible for 48 units (one year) of credit.
Students must achieve a minimum 70% average mark in the first 48 units of coursework and have the approval of the supervisor for the research project.
Cognate discipline
Mathematics, Statistics, Mathematical Economics, Mathematical Finance, Actuarial Studies, Computer Science, Bioinformatics
Indicative fees
Domestic students: $29,280.00
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Bond University

The professional program follows the same structure as the Master of Actuarial Science program with an additional 20-week Work Integrated Learning component.
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The professional program follows the same structure as the Master of Actuarial Science program with an additional 20-week Work Integrated Learning component. Work Integrated Learning is a 45 credit point subject designed to promote and support learning, personal development and professional practice. The subject focuses on developing self-analysis and reflective learning skills, and applying theoretical solutions for practical workplace problems.
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Bond University

Campus92 weeksJanuary 2017AustraliaRobina

The Master of Actuarial Practice follows the same structure as the Master of Actuarial Science, plus Practice Subjects.
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Best Part time Masters in Statistics 2017. The Master of Actuarial Practice follows the same structure as the Master of Actuarial Science, plus the following subjects:
Practice Subjects (4)
Actuarial Control Cycle 1
Actuarial Control Cycle 2
Investments and Asset Modelling
Actuarial Research Essay (20 Weeks)
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ENTRY REQUIREMENTS
Applicants must have completed an undergraduate degree at a credit average in any discipline other than actuarial science.
PROGRAM DESCRIPTION
The Master of Actuarial Science combines advanced mathematics, statistics, data analytics, actuarial risk theory, finance, economics and accounting subjects with large-scale, real-life commercial data analysis.
PROGRAM STRUCTURE
Core Subjects (9)
Advanced Modelling
Contingencies
Corporate Finance
Derivative Products
Financial Mathematics
Insurance Models
Investments
Macroeconomics
Mathematical Statistics
Electives (7)
You must complete approved postgraduate elective subjects.
PROFESSIONAL OUTCOMES
Actuarial Science has emerged as a key growth sector of the 21st century and is consistently ranked among the best careers in the world. High graduate starting salaries and full employment rates reflect the growing demand for qualified analysts, with career opportunities predicted to increase substantially over the next five years. The Master of Actuarial Science prepares students for rewarding careers in a diverse range of disciplines, including climatology, consulting, data analytics, e-commerce, economics, finance, health, insurance, infrastructure, research, risk management, safety, science, statistics, superannuation and technology.
PROFESSIONAL RECOGNITION
Actuaries Institute
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Chicago State University

Campus2 - 3 yearsAugust 2017USAChicago

Chicago State University's MPH program is a practice-centered curriculum designed to prepare students for the health problems of the 21st century. It focuses on the core functions of public health including: health status assessments, environmental health quality assurance, behavior change strategies, health disparities, as well as health policy development and research.
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Best Part time Masters in Statistics 2017. Chicago State University's MPH program is a practice-centered curriculum designed to prepare students for the health problems of the 21st century. It focuses on the core functions of public health including: health status assessments, environmental health quality assurance, behavior change strategies, health disparities, as well as health policy development and research. CSU’s MPH program has a value-added component that focuses on minority health and health equity. The MPH curriculum also emphasizes the social and scientific strategies in understanding the causality, consequences, prevention and control of diseases and untimely deaths.
Students in the MPH program will conduct research that will increase public awareness of these health problems.
Admissions Application Deadlines
The Graduate School accepts applications on a continuous basis for most graduate programs; students interested in obtaining admission to a specific term should complete the admission process by these deadlines:
Fall Term - March 15th (March 1st for all Counseling applicants).
Spring Term - October 15th (one month earlier for international applicants).
Total Tuition and Fees
$3,926.00 - $6,248.00 (Graduate)
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Toulouse School Of Economics TSE

Campus1 yearSeptember 2017FranceToulouse

The master 2 “Statistics and econometrics” develops students who have previously acquired a solid skill set in economics and/or mathematical statistics.
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Aims and Scope
The master 2 “Statistics and econometrics” develops students who have previously acquired a solid skill set in economics and/or mathematical statistics. It offers general classes in mathematical statistics and in econometrics as well as specialized classes in various fields of application. The objective of the curriculum is first to give the students a solid culture in the big themes of applied statistics. This culture is necessarily developed while learning to use software like notably SAS, R and Matlab. Furthermore, the students acquire skills in computing when it comes to database management. Some options allow them to develop applications in various fields notably in the tertiary sector.
Admission
Admission is based on academic excellence criteria. An undergraduate degree of at least 4 years of college or a Master’s degree is required, within a recognized curriculum considered as consistent with the program and approved by the TSE selection committee. Some brushing-up in Economics or Maths might be advisable in some cases. Working knowledge of English is obviously required.
Application deadlines:
Applications are considered from November to mid-March for international students and in May/June for French University graduates.
Fees
5500 euros + 256 euros Master registration + 215 euros Social Security
Scholarships: Some Master scholarships will be awarded to Master students according to academic and individual criteria
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Toulouse School Of Economics TSE

The EEE M2 program provides in the first semester a solid training in microeconometrics, time series, panel data models, non-parametric methods, large dimension statistical tools, computer programming, and database management system.
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Best Part time Masters in Statistics 2017. Aims and Scope
This master aims at providing econometric and empirical analysis tools combined with strong skills in using large data sets in order to perform deep studies in a broad area of economics. The EEE M2 program provides in the first semester a solid training in microeconometrics, time series, panel data models, non-parametric methods, large dimension statistical tools, computer programming, and database management system. In the second semester, students apply these training to do empirical studies in industrial organization, finance, public policy evaluation programs, health and insurance, data analytics and big data.
Courses are taught in English by TSE faculty members with well-established international reputation in econometrics, empirical economics, industrial organization, and finance among others. This training is completed with an empirical project done during the whole year in a group of students.
Admission
Admission is based on academic excellence. An undergraduate degree of at least 4 years of college or a Master’s degree is required with a curriculum considered as consistent with the program and approved by the TSE selection committee. Working knowledge of English is also required.
Application deadlines:
Applications are considered from November to the end of February for international students and in April/May for French University graduates.
Fees
5500 euros + 256 euros : Master registration fees + 215 euros: Social Security
Scholarships: Some Master scholarships will be awarded to Master students according to academic and individual criteria
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Toulouse School Of Economics TSE

Campus1 yearSeptember 2017FranceToulouse

The 1st year of the Master 1 in Econometrics and statistics provides rigorous training in the major fields of economics.
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Aims and Scope
The 1st year of the Master 1 in Econometrics and statistics provides rigorous training in the major fields of economics. 100% of courses of this program are taught in English. The objectives of this 1st year is to enhance the students’ general economics culture and to prepare them for more quantitatively oriented classes.
The program also includes:
Individual tutoring hours in « econometrics », « Applied econometrics » and « Intro to SAS, R and Python »
Employment coaching sessions in English
Admission
- Aimed at non French speaking international students
- Students should hold a BA or BSc in Economics, Applied Mathematics within a recognized curriculum considered as consistent with the program and approved by the TSE selection committee.
- GRE, TOEFL or TOEIC is required.
Applications are considered from November (Eiffel scholarship applicants) and in February for international students and in May for graduates of French universities.
Fees
5 500 euros/year (these fees can be paid in three installments) + registration fees (256€) and social security (215€)
Finacial aids: Some Master scholarships and fee waivers will be awarded to Master students according to academic, geographical or individual criteria.
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Sharda University

Campus2 yearsJuly 2017IndiaGreater Noida

Two years Post Graduate Course in Statistics. The course is intended for those having an inclination towards higher learning in Statistics. Statistics finds application everywhere and the degree warrants highly potential employability...
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Best Part time Masters in Statistics 2017. Master of Statistics (M.Stat.)
Two years Post Graduate Course in Statistics. The course is intended for those having an inclination towards higher learning in Statistics. Statistics finds application everywhere and the degree warrants highly potential employability.
Eligibility
B.Sc. with Mathematics/ Statistics with 60% marks
Proficiency in English communication
Career and Placement
University Research or Teaching jobs, IT and Bank Jobs.
Guidelines for Admissions
Pre-qualification examination criteria for the Under Graduate programmes is Class 12th from any of the recognized boards of India. For foreign nationals, the pre qualification for the Under Graduate programmes is a certificate equivalent to Class 12th examination of the country and meeting the equivalence criteria of ‘Association of Indian University’.
Pre-qualification criteria for the Post Graduate programmes is graduation from any recognized university in India. For foreign nationals, the pre-qualification criteria for the Post Graduate programmes is degree awarded by a University in a particular country and meeting the equivalence criteria of ‘Association of Indian Universities’.
Applicants who have appeared for their final year graduation examinations in year 2015 may also apply for admission to Post Graduate programme.
The University reserves its rights to judge the capability of a candidate through GD/PI before final admission.
TOEFL/IELTS is compulsory for foreign nationals who do not have English as primary language in teaching and examination.
To qualify for admission in Sharda University in its Under Graduate programme, the applicants must complete 17 years of age on 31st December of the academic year in which they are seeking admission.
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Sabanci University

Campus1 yearOctober 2017Turkeyİstanbul

Big data is paving the way to empower businesses to make better decisions: With the amount of digital data increasing at an enormous rate, rigorous research is carried out in an effort to extract value from the massive data sets, to turn them into smarter decisions for improving business results. The emerging field of Data Analytics holds the key to unleashing that potential.
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Big data is paving the way to empower businesses to make better decisions: With the amount of digital data increasing at an enormous rate, rigorous research is carried out in an effort to extract value from the massive data sets, to turn them into smarter decisions for improving business results. The emerging field of Data Analytics holds the key to unleashing that potential.
Data Analytics is considered to be a relatively new field which integrates state-of-the-art computational and statistical techniques to extract business value from a rapidly expanding volume of data. Many consulting firms claim that Data Analytics will be one of the key skills of the 21st century. Most critical issue, however, is the shortage of analytical talent that could turn the high-volume data into useful information that will be used for better decision making.
In a business world in which the gap between winners and losers is narrowing down, companies are increasingly turning to data analytics to gain a competitive advantage in productivity, profitability and sustainable manufacturing processes for better products and better services. To be able to do that, companies need trained workforce skilled in Data Analytics, who are equipped to manage, understand and model the data, interpret the outcome and communicate the results for business use. Professionals holding a degree in Data Analytics will be well positioned to help their organizations gain a competitive advantage in a data-driven world. This program is designed to help our participants develop the skill set needed for creating and maintaining the added competitive edge that innovative companies are trying to establish.
Our curriculum will help you develop skills required for data-driven decision-making with a wide variety of courses such as: Programming, Data management and data processing, Data mining, Machine learning, Statistical models for data analysis, Optimization, Decision modeling, Exploratory data analysis and visualization, Social network analysis, Data privacy, security and forensic discovery, Information security law, Business communication, Project management, a capstone project and more.
Admission Requirements
Applications for non-thesis master’s programs are evaluated by the assigned Admission Jury. Suitable candidates are invited to a personal interview. Admissions are finalized by the approval of the related Graduate School Board upon the recommendation of the Jury and are announced to the applicants. Application periods can be found in the Academic Calendar of Sabanci University.
Your registration will be completed upon the approval of Turkish Higher Education Council regarding the equivalence of the last graduated higher instution and the course of study.
Program Structure
Professional Master's Degree in Data Analytics is a 30-credit program that can be completed in one academic year. The courses are distributed across three consecutive semesters (Fall-Spring-Summer), each of which lasts 14 weeks. Students take 10 courses (excluding the Term Project) in total from various areas. The Term Project is a non-credit course.
Who should apply
Professional Master’s Degree in Data Analytics is designed for working professionals who are looking into developing their analytical skills with no interruption on participants’ careers. The expected participant profile:
Graduates of disciplines with a solid quantitative background (e.g. computer science, engineering, mathematics, physics, statistics, economics and other fields with a quantitative focus), or
All professionals who have ample work experience in a data-analytics-related area and are seeking in-depth training in Big Data Analysis.
Skills Acquired
Diagnose, understand, measure and evaluate data to enable better decision making within the organization. Define and apply appropriate methodologies for complex business problems. Interpret findings, present and communicate the results.
Graduates can find work as data analysts, data managers, data modelers and data scientists in the financial institutions, healthcare industry, insurance industry, telecommunications industry, marketing and media firms, retail industry and government agencies.
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University of Kent, School of Mathematics, Statistics & Actuarial Science

CampusPart time1 - 6 yearsAugust 2017United KingdomCanterbury

With ongoing activities in areas like biological applications, statistical ecology, and nonparametric statistics, research students joining SMSAS will become part of a thriving and vibrant research community.
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Best Part time Masters in Statistics 2017. MSc, MPhil, PhD - Statistics
With ongoing activities in areas like biological applications, statistical ecology, and nonparametric statistics, research students joining SMSAS will become part of a thriving and vibrant research community.
There's a well-established system of support and training, with a high level of contact between staff and research students. A very active research seminar programme further enhances the Statistics research experience.
Course structure
Staff research interests are diverse, and include: Bayesian statistics; bioinformatics; biometry; ecological statistics; epidemic modelling; medical statistics; nonparametric statistics and semi-parametric modelling; risk and queueing theory; shape statistics.
Statistics has strong connections with a number of prestigious research universities such as Texas A&M University, the University of Texas, the University of Otago, the University of Sydney and other research institutions at home and abroad.
The research interests of the group are in line with the mainstream of statistics, with emphasis on both theoretical and applied subjects.
The group regularly receives research grants. The EPSRC has awarded two major grants, which support the National Centre for Statistical Ecology (NCSE), a joint venture between several institutions. A BBSRC grant supports stochastic modelling in bioscience.
Research areas
Biometry and ecological statistics
Specific interests are in biometry, cluster analysis, stochastic population processes, analysis of discrete data, analysis of quantal assay data, overdispersion, and we enjoy good links within the University, including the School of Biosciences and the Durrell Institute of Conservation and Ecology. A recent major joint research project involves modelling the behaviour of yeast prions and builds upon previous work in this area. We also work in collaboration with many external institutions.
Bayesian statistics
Current work includes non-parametric Bayes, inference robustness, modelling with non-normal distributions, model uncertainty, variable selection and functional data analysis.
Bioinformatics, statistical genetics and medical statistics
Research covers bioinformatics (eg DNA microarray data), involving collaboration with the School of Biosciences. Other interests include population genetics, clinical trials and survival analysis.
Nonparametric statistics
Research focuses on empirical likelihood, high-dimensional data analysis, nonlinear dynamic analysis, semi-parametric modelling, survival analysis, risk insurance, functional data analysis, spatial data analysis, longitudinal data analysis, feature selection and wavelets.
Fees
As a guide only, the 2014/15 annual tuition fees for this programme are:
Statistics - MSc by Research at Canterbury:
Full-time: £3996 UK/EU; £12450 Overseas
Part-time: £1998 UK/EU; £6240 Overseas
Statistics - MPhil at Canterbury:
Full-time: £3996 UK/EU; £12450 Overseas
Part-time: £1998 UK/EU; £6240 Overseas
Statistics - PhD at Canterbury:
Full-time: £3996 UK/EU; £12450 Overseas
Part-time: £1998 UK/EU; £6240 Overseas
Key facts
Subject area: Statistics
Award: MSc, MPhil, PhD
Course type: Research
Location: Canterbury
Mode of study: Full-time or part-time
Attendance mode: Campus
Duration: MSc one year full-time, two years part-time; MPhil two years full-time, three years part-time; PhD three to four years full-time, five to six years part-time
Start: September
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Lund University

Campus2 yearsSeptember 2017SwedenLund

The Master's in Mathematical Statistics provides a broad spectrum of tools and methods for handling random phenomena occurring in scientific
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Programme overview

The Master´s programme in Mathematical Statistics provides a broad spectrum of tools and methods for handling random phenomena occurring in scientific as well as industrial contexts. Within the programme you can specialise in many different areas for different purposes.

Within the programme you can specialise in many different areas for different purposes. In this programme you take at least 45 ECTS credits in mathematical statistics at Master’s level, and write a Master´s thesis of 30 ECTS credits. You can choose to take the remaining (at most) 45 ECTS course credits in mathematics or numerical analysis. You can also choose to take courses in other subjects such as computer science, or, if you are aiming for a career in a specific applied field, courses in that field. Examples include courses in economics, molecular biology and bioinformatics. If you intend to proceed to a PhD you should take courses with a high degree of theory content, while if you are aiming for a career outside academia you should take courses that cover a wide range of statistical models and methods....
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Örebro University

Campus2 yearsAugust 2017SwedenÖrebro

With a Master's degree in Applied Statistics you will have the knowledge and the qualifications to assume a leading role in the design of statistical surveys and to contribute to the development of statistical analysis. Potential employers are banks and insurance companies, market research firms, as well as the industry sector, especially the pharmaceutical industry.
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Best Part time Masters in Statistics 2017. With a Master's degree in Applied Statistics you will have the knowledge and the qualifications to assume a leading role in the design of statistical surveys and to contribute to the development of statistical analysis. Potential employers are banks and insurance companies, market research firms, as well as the industry sector, especially the pharmaceutical industry.
The master program prepares students for careers as statisticians in both the private and the public sectors. Statistical methods are used all over the world and the students of the master program gain access to the international job market. The program gives the students training for a profession as a statistician. At the same time the program prepares the student for studies at the Ph.D. level. The training covers many areas of statistical theory and practice giving opportunities to work in different fields of application of statistical methodology, although a focus of the program is on applications within the economic and social sciences. The program is particularly well suited for students interested in a career in official statistics. It is the only Swedish master program and one of twelve in total that has been certified by Eurostat (the statistical office of the European Union) to offer a European Master in Official Statistics (EMOS). The program is made up of four semesters of courses. The program starts with a course in mathematics and a course in statistical theory. During the first year students will, in addition, take two courses in econometrics, two courses on the theories and methods in the area of survey methodology and courses in computational statistics and Bayesian statistics. The third and the fourth semesters each includes two courses and one 15 credits master thesis. The students write two master theses in the program, one during the third semester and one during the fourth semester. A European Master in Official Statistics can be obtained by taking courses aimed towards official statistics during the third semester, conducting an internship at Statistics Sweden or another statistical agency during the fourth semester and writing a thesis that is relevant for the production of official statistics. After completion of the program, the student has the training needed to take a leading role in the design and implementation of statistical surveys and analyses as well as the ability to contribute to the developments of statistical methodology.
Specific entry requirements
A first-cycle qualification of at least 180 credits, of which at least 90 credits are for studies in statistics alternatively 30 credits are for studies in statistics and 60 credits for mathematics. The applicant must also have qualifications corresponding to the course "English 6" or "English B" from the Swedish Upper Secondary School.
Qualifications (degree awarded)
Degree of Master of Arts/Science [60 credits]
Degree of Master of Arts/Science [120 credits]
Career
The job market for statisticians is good. A statistician can work in many different areas all over the world. Statisticians are employed by banks, insurance companies, medical companies, manufacturing companies and government agencies.
Additional information
The application period is open between October 16th 2015 - January 15th, 2016.
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University of Turin

Campus2 yearsSeptember 2017ItalyTurin

The M.Sc. in Stochastics and Data Science is a two-year course that aims at preparing a new generation of data scientists, with strong mathematical skills and a modern education in statistical and computational methods.
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INTRODUCTION
One of the leading job figures of the 21th century is going to be that of data scientist. Jobs analysts have been ranking Mathematicians, Statisticians and Data Scientists among the best and most requested jobs:
Harvard Business Review: Data Scientist: The Sexiest Job of the 21st Century;
Glassdoor: Data Scientist rated as the no. 1 job in 2016;
Forbes: number of Data Scientists doubled over the last four years;
McKinsey: Big data, the next frontier for innovation, competition, and productivity;
LinkedIn ranks Statistical Analysis and Data Mining as the hottest skill in 2014;
CareerCast ranks Mathematician and Statistician among the top 3 jobs in 2014;
New York Times: Bayesian statistics are rippling through everything from physics to cencer research, ecology to psychology.
The M.Sc. in Stochastics and Data Science is a two-year graduate course that aims at preparing students with a modern education in advanced probabilistic, statistical and computational methods.
Inspired by the best programs in Data Science recently started in the USA and Europe, this course brings together the expertise and international standing of three different departments of the University of Torino to create a unique chance for obtaining a solid degree in Data Science at low university fees. The Program is entirely taught in English and will also feature course modules taught by visiting professor who are internationally recognised experts of their respective areas.
Graduates in Stochastics and Data Science will possess a solid knowledge in key topics of Applied Mathematics, Probability, Statistics, Stochastic Processes, Computer Science and Machine Learning. These are nowadays essential tools for performing mathematical modelling under uncertainty and for analysing complex, high dimensional datasets with a deep mathematical understanding of the underneath structures.
They will be able to work in technological companies, research institutions, banks and insurance companies, financial sector, industries (of all sectors), universities, public administrations, laboratories and research centres in the fields of medicine, biology, ecology, social sciences. Alternatively, those more interested in proceeding with PhD studies, will have gained a solid background which allows to enter programs in Statistics, Mathematics, Applied Mathematics, Operations Research, Computer Science, Economics and Mathematical Finance, among other topics.
LOCATION
Torino is a beautiful city located in the north west part of Italy, relatively close to France and Switzerland. Surrounded by the Alps, which are visible from the city center in bright days, it is at one hour drive from ski resorts and less than two hours drive from the soothing Tyrrhenian sea.
The first capital of Italy, Torino is classic in style but modern in nightlife, and is nowadays one of the most thriving Italian cities appreciated for the quality of food and restaurants, and the extremely broad range of offer for hanging out.
FEES AND SCHOLARSHIPS
Tuition fees for Master's programs at the University of Torino depend on family income and usually range between 600 and 2800 € per year. More detailed information is available through the Master webpage.
Limited scholarships for international students are available from:
University of Torino;
Piedmont Regional Agency for the Right to Education.
Early applications are strongly suggested.
FURTHER INFORMATION
Please visit the course webpage for further details
http://www.master-sds.unito.it
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Hasselt University

One of the principles we are bearing in mind when setting up the Distance program is to keep it as close to the On-Campus program as possible, not only its content and teaching methods, but also the way of assessing students.
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Best Part time Masters in Statistics 2017. Distance Learning Option
From the academic year 2014-2015 onwards, the Master of Statistics will be gradually offered as Distance Learning (DL) Program, next to and in parallel with the on-campus program. Enrolling for the DL Program means that as a student you will take the program from a distance, i.e. from home, workplace or virtually any place with access to the internet.
Program
In 2014-2015 we offer a program of 30 credits with an equal spread over the first and second semester. As can be seen in the table below, you can take three courses in the first semester between September 2014 and January 2015, and 3 courses in the second semester between February and June 2015. One unit (P-LFD) is a project that runs over both semesters, i.e. between September 2014 and June 2015.
The on- and off-campus program will be offered in parallel, synchronized as far as practically feasible, and with maximal flexibility. It will be possible to switch between the on-campus and off-campus programs. The content and learning outcomes within and across courses are identical. In 2015-2016 we plan to offer the full-time program (60 credits) for the first year of the Master program in Distance Learning, as well as part of the second year.
In practice the study load has proven to be too heavy to combine the full-time program (60 credits) with a job. Combining a parttime program of 30 credits with a (parttime) job is expected to be feasible.
Assessment and Examination
One of the principles we are bearing in mind when setting up the Distance program is to keep it as close to the On-Campus program as possible, not only its content and teaching methods, but also the way of assessing students. Hence, at this stage of the implementation, examinations will be held for all student on campus. On campus means that we have three universities were the exams will be arranged: University of Hasselt, campus Diepenbeek, satellite university Anton De Kom (ADEKUS) in Paramaribo, Suriname and University of Gondar. This implies that students taking the DL program can choose the destination as close to their home country. We are also trying to make it possible in the future to arrange exams in other universities around the world. Travel and accommodation expenses are to be financed by the student himself, but practical assistance is offered by our administrative offices.
There are essentially two options. One option is to participate in all exam sessions, after each semester (January and June), and if necessary, in the re-examination period (mid August - first week of September). If not feasible you could opt for the possibility to take all exams in the August-September period. This latter option however does not allow you to retake any exam within one academic year.
Registration
Students selected for the DL program will be informed by the university. Their pre-registration will be updated to Distance learning program and a payment request for tuition fee and insurance fee will be sent by email. Only after receipt of the payment of both tuition fee and insurance fee (2 months (January and June, € 40/month) the student will be enrolled in the program. If student needs to travel to Hasselt University for re-sit exams in August an additional €40 insurance fee will have to be paid.
Tuition fee
The tuition fee for the Distance Learning Program depends on your country of origin:
students from Belgium pay a fix fee of €61.90 + €9.30 per credit. Hence, a 30 ECTS credit program costs € 340.90
students from the developing countries in the following list pay € 80:
Africa: Benin, Burkina Faso, Burundi, Cameroon, DR Congo, Ethiopia, Gambia, Ghana, Guinea, Ivory Coast, Kenya, Madagascar, Malawi, Marocco, Mozambique, Nigeria, Rwanda, Senegal, South-Africa, Tanzania, Togo, Tunisia, Uganda, Zambia, Zimbabwe
Asia: Bangladesh, Camodia, India, Indonesia, Jordan, Laos, Nepal, Palestinian Territories, Philippines, Sri Lanka, Thailand, Vietnam
South America: Bolivia, Brasil, Colombia, Cuba, Dominican Republic, Equador, Guatemala, Guyana, Haiti, Honduras, Mexico, Nicaragua, Paraguay, Peru, Suriname, Uruguay
Students coming from all other parts of the world pay € 1057.
Requirements
Technical requirements
In order to follow the Distance program you evidently need to be able to have access to (or own) a computer with a sufficiently recent operating system and with an internet connection that allows you to download documents and to stream videos (at least 3Mbps).
A limited number of software packages need to be downloaded: R and LaTeX are available online for free; SAS can be downloaded from the UHasselt intranet (but hence a sufficiently fast internet connection is needed) or you can use the SAS Web Editor. More detailed information will be delivered to you after registration.
Requirements concerning accredited prior learning
As is the case for the On-Campus students, you need to hold at least a university diploma or degree certificate or a diploma of higher education equivalent to a bachelor’s degree (180 ECTS credit points). Admission can be given directly, conditionally or indirectly after finalization of a preparatory programme.
Language requirements
Candidates who wish to register in an English language Master’s program have to demonstrate good command of English, both written and spoken. English language skills need to be confirmed by a recent score on the Test of English as a Foreign Language (TOEFL) or the International English Language Testing System (IELTS) or any recognised proficiency test.
The English proficiency test can be waivered if your education was (partly) in English or if English is a national language in your home country.
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